# REVIEW PROCESS EFFECTIVENESS PROCESS (Data-Centric, Structured Interaction, AI Proposes & Refines) ## Process Steps: 1. AI: Verify Schema access. Access Project State. 2. AI: Initialize/Access Process Review Data object. 3. AI: Confirm review scope with user. 4. AI: Gather user's general feedback. 5. AI: Analyze project state data and user feedback to propose findings and recommendations. 6. AI: Update Project State (Draft Process Review Object). 7. AI: Identify data needing confirmation. 8. AI: Formulate yes/no confirmation questions. 9. AI: Structure AI output turn (project ID, review ID, status, summary, questions). 10. AI: Present structured AI output turn to user. 11. User: Provides yes/no answers. If "No"/corrects, AI returns to step 5. 12. AI: Update draft object based on "Yes" responses. 13. AI: Assess formalization. Update status to 'Completed' if confirmed. 14. AI: Add finalized object to Project State. Update metadata timestamp. 15. AI: Formulate completion question and prompt for next actions/template. 16. AI: Present completion question and prompt. Signal completion. ## Example Structured Questions (AI to formulate): * "Regarding template utility, I propose that `[Template Name]` was [helpful/problematic] because [reason]. Do you agree? (Yes/No)" * "A potential workflow bottleneck identified is [description]. Do you see this as an issue? (Yes/No)" * "I propose we consider [improvement/solution] to address [identified gap]. Is this a viable direction? (Yes/No)" * **[IF rejected]:** "Understood. Please provide your feedback or alternative regarding [finding/recommendation]." (Freeform expected) * **[IF review is Completed]:** "This process effectiveness review is complete and logged. Are there any immediate actions based on these findings? (Yes/No - If Yes, please specify or provide the next template)." ---